INTELLIGENT DATA FILTERING

• US 20120271837A1
• Filed: 04/21/2011
• Published: 10/25/2012
• Est. Priority Date: 04/21/2011
• Status: Abandoned Application

• Current Assignee: Rezzmap Incorporated
• Original Assignee: Rezzmap Incorporated
• Inventors: Woollam, Robert W., Kryger, Lisa M., Rick, Jeffrey H.
• Application Number:
  US13/091,266
• Publication Number:
  US 20120271837A1
• Time in Patent Office: Days
• US Class Current: 707/751
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

Data received from a data source is aggregated and filtered by parsing the data to determine an attribute related thereto. The data and attribute are added to a data structure that includes an automatically-generated history of a user'"'"'s interaction with previously received data. A score is assigned to the received data based on its relationship to the previously received data. The data is outputted to the user if the score is greater than a threshold.

Claims

1. A method for filtering data received from a data source, the method comprising:

storing, in a data store, data received from a data source;

parsing the received data to determine an attribute related thereto;

adding the data and attribute to a data structure comprising an automatically-generated history of a user'"'"'s interaction with previously received data;

assigning a score to the received data based on its relationship to the previously received data; and

outputting the data to the user if the score is greater than a threshold.

2. The method of claim 1, further comprising displaying the outputted data.

3. The method of claim 1, further comprising modifying the threshold in accordance with user input.

4. The method of claim 3, wherein the user input is captured in a volume-control interface.

5. The method of claim 1, further comprising assigning a type to the relationship between the received data and the existing element.

6. The method of claim 5, wherein the type is based at least in part on the attribute.

7. The method of claim 1, further comprising (i) determining if other users are affected by adding the data and (ii) updating scores of the other users accordingly.

8. The method of claim 1, wherein determining the attribute comprises determining a word, phrase, or metadata element associated with the data.

9. The method of claim 1, wherein the data structure is a knowledge map and adding the data and attribute to the data structure comprises creating a new node in the knowledge map.

10. The method of claim 9, wherein adding the data and attribute to the data structure further comprises adding an edge between the new node and an existing node.

11. The method of claim 10, further comprising assigning a type to the edge.

12. The method of claim 10, wherein the score is based at least in part on a creation time of the edge or a creation time of the node.

13. A system for filtering data received from a data source, the system comprising:

a fetch module for (i) receiving data from a data source, (ii) parsing the data to determine an attribute of the data, (iii) inserting the received data and attribute into a data structure comprising previously received data, and (iv) creating a relationship, within the data structure, between the received data and the previously received data;

a web module for modifying the data structure in accordance with an interaction, by a user, with the previously received data; and

a map module for computing a score for the received data based on the relationship with the previously received data and for outputting the data to a user if the score is greater than a threshold.

14. The system of claim 13, further comprising a user interface for presenting the outputted data to the user.

15. The system of claim 13, wherein the system is a server computer, and the map module outputs Web-based data.

16. The system of claim 13, wherein the data structure comprises a knowledge map.

17. The system of claim 14, wherein the knowledge map comprises a node that represents the received data.

18. The system of claim 14, wherein the knowledge map comprises an edge that corresponds to a relationship between the received data and the previously received data.

19. The system of claim 13, wherein the data source comprises a social networking site, email server, RSS feed, or web log.

20. The system of claim 13, wherein the user interface comprises a user control for adjusting the threshold.

21. An article of manufacture storing computer-readable instructions thereon for filtering data received from a data source, the article of manufacture comprising:

storing instructions that cause a computer to store data received from a data source;

parsing instructions that cause a computer to parse the received data to determine an attribute related thereto;

adding instructions that cause a computer to add the data and attribute to a data structure comprising an automatically-generated history of a user'"'"'s interaction with previously received data;

assigning instructions that cause a computer to assign a score to the received data based on its relationship to the previously received data; and

output instructions that that cause a computer to output the data to the user if the score is greater than a threshold.

22. The method of claim 21, further comprising modifying the threshold in accordance with user input.

23. The method of claim 21, further comprising assigning a type to the relationship between the received data and the existing element.